Demo Data from VLDB 2026 / reviewers in the wild / expert
Liang-Sheng Hwang
dblp:28/5332
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Reinforcement learning · 61% Robot navigation and mapping · 39% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Reinforcement learning
exploration |
0.0 | 1 | 1998 | A Graph-Based Exploration Strategy of Indoor Environments by an Autonomous Mobile Robot · ICRA 1998 |
Machine learning › Reinforcement learning › exploration › autonomous exploration › mobile robot exploration
indoor exploration |
0.0 | 1 | 1998 | A Graph-Based Exploration Strategy of Indoor Environments by an Autonomous Mobile Robot · ICRA 1998 |
Robotics › Robot navigation and mapping
occupancy grid mapping |
0.0 | 1 | 1998 | A Graph-Based Exploration Strategy of Indoor Environments by an Autonomous Mobile Robot · ICRA 1998 |
Robotics › Robot navigation and mapping › robot mapping
topological mapping |
0.0 | 1 | 1998 | A Graph-Based Exploration Strategy of Indoor Environments by an Autonomous Mobile Robot · ICRA 1998 |
Methods — techniques the papers use, named apart from their topics
occupancy grid fusion · 0.0graph-based exploration strategy · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | A Graph-Based Exploration Strategy of Indoor Environments by an Autonomous Mobile RobotabstractPresents a provably complete strategy for indoor environment exploration by an autonomous mobile robot. Without prior knowledge about the environment, the strategy guarantees the construction of a grid-based map, of the entire reachable area within a bounded region. Multiple map representations are utilized including a topological grid map for guiding the exploration process, a modified occupancy grid for fusing data from multiple range sensors, and a hierarchy of grids for real-time navigation. Experiments using a Nomad 200/sup TM/ robot have shown accurate map construction while navigating at a steady speed of 0.2m/sec. Yung-Jen Hsu 0001, Liang-Sheng Hwang |
ICRA | 2 |